If the African Growth and Opportunity Act (AGOA) is to remain as a key part of US development policy in Africa, it needs to embrace the sector on which so many of the poor in Africa depend. According to World Bank data, more than 60 percent of Africans live in rural areas, and they are more likely to be poor than their urban counterparts. Yet, while almost all manufactured goods enter duty-free under AGOA and other trade preference programs, US policy (unintentionally) discriminates against agricultural sectors in which Africa could be competitive.
The Quality of Official Development Assistance (QuODA) measures donors’ performance on 31 indicators of aid quality to which donors have made commitments. The indicators are grouped into four dimensions associated with effective aid: maximizing efficiency, fostering institutions, reducing the burden on partner countries, and transparency and learning. The 2014 edition finds that donors are overall becoming more transparent and better at fostering partner country institutions but that there has been little progress at maximizing efficiency or reducing the burden on partner countries.
The World Bank’s new Program for Results (PforR) instrument is only the third instrument approved by its Board and the first to directly link disbursements to results.
The Political Economy of Bad Data: Evidence from African Survey & Administrative Statistics - Working Paper 373
Across multiple African countries, discrepancies between administrative data and independent household surveys suggest official statistics systematically exaggerate development progress. We provide evidence for two distinct explanations of these discrepancies.
This report is the third edition of our effort to measure the quality of Official Development Assistance (ODA), now updated to use 2012 data—the most recent available—from the OECD Development Assistance Committee (DAC).
Despite improvements in censuses and household surveys, the building blocks of national statistical systems in sub-Saharan Africa remain weak. Measurement of fundamental statistics such as births and deaths, growth and poverty, taxes and trade, land and the environment, and sickness, schooling, and safety is shaky at best.
How Should Donors Respond to Resource Windfalls in Poor Countries? From Aid to Insurance - Working Paper 372
Natural resources are being discovered in more countries, both rich and poor. Many of the new and aspiring resource exporters are low-income countries that are still receiving substantial levels of foreign aid.
Despite improvements in censuses and household surveys, the building blocks of national statistical systems in sub-Saharan Africa remain weak. Measurement of fundamentals such as births and deaths, growth and poverty, taxes and trade, land and the environment, and sickness, schooling, and safety is shaky at best. The Data for African Development Working Group’s recommendations for reaping the benefits of a data revolution in Africa fall into three categories: (1) fund more and fund differently, (2) build institutions that can produce accurate, unbiased data, and (3) prioritize the core attributes of data building blocks.
In today’s world, the global economy is highly interconnected, but the global polity is weak, rudimentary, and fragmented.